Cloud Workload Prediction by Means of Simulations
Author:
Affiliation:
1. Liverpool John Moores University, Department of Computer Science, Liverpool, United Kingdom
2. University of Szeged, Szeged, Hungary
3. Institute for Computer Science and Control (MTA SZTAKI), Budapest, Hungary
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3075564.3075589
Reference8 articles.
1. Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS
2. Workload modeling for resource usage analysis and simulation in cloud computing
3. Forecasting for Grid and Cloud Computing On-Demand Resources Based on Pattern Matching
4. On Efficiency of Multi-job Grid Allocation Based on Statistical Trace Data
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